Code covered by the BSD License
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[ctimes, cval]=linjpcut(jmpti...
LINJPCUT Truncate piecewise linear functions at a given time.
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[ctimes, cval]=staircut(jmpti...
STAIRCUT Truncate piecewise constant functions at a given time.
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[ctimes, le_ij, cle_ij, exi, ...
STTIMESCUT Truncate nondecreasing sequences at a given point.
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countpath(cdir)
COUNTPATH add the counting processes and random number
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distrmu(distr, dpar)
DISTRMU a table-lookup function. For a given handle to an external
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distrstat(distr, dpar)
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lracc(sc_type, alpha, refvar,...
LRACC Compute the "acceleration factor": the ratio between
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lrscales(sc_type, alpha, refv...
LRSCALES Compute the time and space scales according to the
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onoff(nproc, maxtime, on_dist...
ONOFF generate N independent stationary on-off processes. An
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rencount(nproc, maxtime, dist...
% RENCOUNT Simulate independent renewal counting processes
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renewpp(nproc, maxtime, distr...
RENEWPP Generate a matrix of N independent renewal point
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renrew(nproc, maxtime, ren1_d...
% RENREW Generate N independent renewal reward processes
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renuni(nproc, maxtime)
RENUNI Generate a matrix of N independent renewal counting
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scalemginfty(sc_type, lambda,...
SCALEMGINFTY Simulate the rescaled and centered cumulative
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scaleonoff(sc_type, maxtime, ...
SCALEONOFF Simulate a rescaled and centered sum of integrated
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scaleren(sc_type, alpha, ren_...
SCALEREN Simulate a rescaled and centered sum of independent
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servpath(sdir)
SERVPATH add the counting processes and random number
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simbinom(npoints, n, p)
SIMBINOM random numbers from binomial distribution
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simdiscr(npoints, pdf, val)
SIMDISCR random numbers from a discrete random
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simexp(M, N, lambda)
SIMEXP random numbers from exponential distribution
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simgeom(npoints, p)
SIMGEOM random numbers from geometric distribution
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simlinear(M, N)
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simmd1(tmax, lambda)
SIMMD1 simulate a M/D/1 queueing system. Poisson arrivals
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simmg1(tmax, lambda)
SIMMG1 simulate a M/G/1 queueing system. Poisson arrivals
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simmginfty(tmax, lambda)
SIMMGINFTY simulate a M/G/infinity queueing system. Arrivals are
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simmm1(n, lambda, mu)
SIMMM1 simulate a M/M/1 queueing system. Poisson arrivals of
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simpareto(M, N, alpha)
SIMPARETO random numbers from Pareto distribution:
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simparetonrm(M, N, alpha, gam...
SIMPARETONRM Generate a matrix of random numbers from the
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simstmginfty(maxtime, lambda,...
SIMSTMGINFTY generate the system size process in a stationary
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stairintegr(jptimes, fval, st...
% STAIRINTEGR Integrate piecewise constant (stair) functions. The results
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stairsum(jmptimes, fval)
% STAIRSUM Add piecewise constant (stair) functions.
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stintresc(jmptimes, fval, ...
STINTRESC Integrate and rescale a piecewice constant function:
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strescint(jmptimes, fval, ...
STRESCINT Rescale and integrate a piecewice constant function:
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stsumplot(jptimes, fval, stim...
STSUMPLOT Plot piecewise constant functions and their sum. The
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telepath(tdir)
TELEPATH add the teletraffic models directories to the path.
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simgeod1.m
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View all files
Aggregated Teletraffic Models with Long-range Dependence
by Ingemar Kaj Raimundas Gaigalas
06 Jan 2006
(Updated 10 Jan 2006)
Simulates aggregated teletraffic: infinite source Poisson model, on-off model, sum of renewal proc
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| File Information |
| Description |
Simulate and visualize three models for aggregated telecommunications traffic with long-range dependence: superposition of renewal processes, infinite source Poisson (M/G/Infinity) model and integrated sum of on-off processes. The simulations illustrate known limit results for the models.
Under three different scaling conditions the models can be approximated by one of fractional Brownian motion, stable Levy motion or the third process. For detailed documentation see
http://www.math.uu.se/research/telecom/software/ |
| MATLAB release |
MATLAB 6.5 (R13)
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| Updates |
| 10 Jan 2006 |
Changed default parameter values in scaleren.m, corrected the help part in lracc.m, corrected the description |
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